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Sensitivity based Neural Networks Explanations

Sensitivity based Neural Networks Explanations

3 December 2018
Enguerrand Horel
Virgile Mison
T. Xiong
K. Giesecke
L. Mangu
    AAMLXAIFAtt
ArXiv (abs)PDFHTML

Papers citing "Sensitivity based Neural Networks Explanations"

7 / 7 papers shown
Title
Can I Trust the Explanations? Investigating Explainable Machine Learning
  Methods for Monotonic Models
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
Dangxing Chen
FAttLRM
40
1
0
23 Sep 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data
  Streams
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
48
3
0
02 Mar 2023
Interpretable Selective Learning in Credit Risk
Interpretable Selective Learning in Credit Risk
Dangxing Chen
Weicheng Ye
Jiahui Ye
FaML
61
16
0
21 Sep 2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning
  Models for Credit Scoring
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring
Dangxing Chen
Weicheng Ye
FaML
70
14
0
21 Sep 2022
Two-stage Modeling for Prediction with Confidence
Two-stage Modeling for Prediction with Confidence
Dangxing Chen
OODDOOD
41
1
0
19 Sep 2022
Understanding Global Feature Contributions With Additive Importance
  Measures
Understanding Global Feature Contributions With Additive Importance Measures
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
62
23
0
01 Apr 2020
Computationally Efficient Feature Significance and Importance for
  Machine Learning Models
Computationally Efficient Feature Significance and Importance for Machine Learning Models
Enguerrand Horel
K. Giesecke
FAtt
35
9
0
23 May 2019
1